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Update src/image_gen.py
Browse files- src/image_gen.py +3 -3
src/image_gen.py
CHANGED
@@ -16,7 +16,7 @@ genai.configure(api_key=GOOGLE_API_KEY)
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client = InferenceClient(provider="hf-inference", api_key=HF_TOKEN)
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def split_text_for_images(number_of_images):
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with open("./
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text = file.read().strip()
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total_length = len(text)
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@@ -101,7 +101,7 @@ def image_gen(number_of_images = 3,detail_level = "short", perspective="neutral"
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texts = split_text_for_images(number_of_images)
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index = 0
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for text in tqdm(texts, desc="Processing", unit="image"):
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output_path = f"./
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prompt = describe_image(text, detail_level, perspective, emotion, time_setting, art_style)
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print(prompt)
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@@ -121,6 +121,6 @@ def image_gen(number_of_images = 3,detail_level = "short", perspective="neutral"
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print(f"Thử lại sau {wait_time:.2f} giây...")
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time.sleep(wait_time)
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index += 1
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os.remove("./
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if __name__ == "__main__":
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image_gen(number_of_images = 3, detail_level="short", perspective="neutral", emotion="sad", time_setting="classic", art_style="realistic", style="anime", color_palette="monochrome")
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client = InferenceClient(provider="hf-inference", api_key=HF_TOKEN)
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def split_text_for_images(number_of_images):
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with open("./text/text.txt", "r", encoding="utf-8") as file:
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text = file.read().strip()
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total_length = len(text)
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texts = split_text_for_images(number_of_images)
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index = 0
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for text in tqdm(texts, desc="Processing", unit="image"):
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output_path = f"./image/{index}.png"
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prompt = describe_image(text, detail_level, perspective, emotion, time_setting, art_style)
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print(prompt)
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print(f"Thử lại sau {wait_time:.2f} giây...")
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time.sleep(wait_time)
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index += 1
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os.remove("./text/text.txt")
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if __name__ == "__main__":
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image_gen(number_of_images = 3, detail_level="short", perspective="neutral", emotion="sad", time_setting="classic", art_style="realistic", style="anime", color_palette="monochrome")
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